We’ve reached a pivotal point in time at which we already have the possibility to create an “Internet of People” through everything from smartwatches and other wearables to electronic implants. But this comes with an interesting quandary when it comes to who’ll have ownership and access to the data that we create. In an article for the Wall Street Journal, professor of law and computer science Dr. Andrea Matwyshyn argues, “Using the human body as a technology platform raises a host of challenging legal and policy questions that regulators and judges may not be prepared to answer.”
The goal of AI should be to take human ingenuity and to attach a rocket to it, blending technology with ethics, accountability and inclusive design to empower as many people as possible. AI should benefit society, not dehumanize it. That’s why it can help to think with a “humans-first” approach. If it’s not adding value to humans, you have to ask yourself why the AI exists in the first place.
I have a vision of the future which I’d like to share with you. You’ve probably heard of black boxes before because they’re used in planes and other vehicles to monitor everything that happens while they’re in use. When a plane crashes, investigators look for the black box so that they can identify what happened. Similar technologies power telematics devices, which can be installed in cars and used to gain insights into how they’re being driven. Some car insurers now base their customers’ premiums on the data that they receive from the telematics device.
Natural Language Processing is pretty much exactly what it sounds like. It’s an umbrella term that’s used to refer to the ability of machines to process and understand language as it’s written or spoken by human beings. While it would be nice to think that our languages make logical sense and follow basic rules of grammar and punctuation, we all know that’s not always the case. We use slang, proper nouns, abbreviations and acronyms, and not everyone can string a sentence together like Stephen King or J. K. Rowling.
Machine learning is the process by which a machine learns something. The end.
Only joking. We’re going to dig a little deeper than that, but it does go to show how simple the basic concepts of machine learning can be. In this article, we’re going to make machine learning so easy that a child could do it. That’s why we’re going to use LEGO.
No one ever wants to come forward and talk about the issues we have with the current healthcare system — and how the future of healthcare will help to correct them. There’s a reason for that. Going on record to talk about it can put your job at risk, which is why many of the leading lights in the fight for the future are self-employed or working on the side of the technology giants. It’s a classic case of the elephant in the room, combined with the fear-based mentality of big businesses. They’re afraid of change.
It’s no coincidence that in both my book and in this article, I’ve started talking about data by using a quote from Sherlock Holmes. The world’s most famous consulting detective used the data he gathered in each of his investigations to arrive at a conclusion, and he was doing this as far back as 1887. We all create huge amounts of data on a daily basis, and yet none of this makes it into our health records. Today’s healthcare system, then, is much more Dr. Watson than Sherlock Holmes — and it’s a Dr. Watson who’s trying to theorize before he has data.
In my book The Future of Healthcare: Humans and Machines Partnering for Better Outcomes, I spent a lot of time talking about how AI, machine learning and other technologies can revolutionize the field of healthcare. I also talked about it in my last article on Medium.
In my book, The Future of Healthcare: Humans and Machines Partnering for Better Outcomes, I spent a lot of time talking about how AI, machine learning and other technologies can revolutionize the field of healthcare. What I didn’t tell you is that they can also revolutionize the field of competitive gaming. Google’s DeepMind has taught itself to play a number of Atari gamesincluding Atari Breakout, and YouTuber SethBling has created a cleverly-named program called MarI/O which uses “neural networks and genetic algorithms [to kick] butt at Super Mario World.”